A software company runs multiple development workloads on AWS, with all resources tagged by Environment. The company's platform team wants to detect sudden, unexpected spend increases in these environments as quickly as possible. The solution must automatically identify anomalies based on historical spending patterns without requiring the team to define static thresholds, and it must send alerts to an Amazon SNS topic for immediate investigation. Which solution will meet these requirements?
- ACreate a cost budget in AWS Budgets filtered by the Environment tag, set the threshold based on historical average monthly spend, and configure the budget to publish alerts to the Amazon SNS topic.
- BCreate a daily scheduled report in AWS Cost Explorer filtered by the Environment tag, and configure a target Amazon SNS topic to receive the report.
- Configure AWS Cost Anomaly Detection with an Environment tag-based monitor, and create an alert subscription to send anomaly notifications to the Amazon SNS topic.Cevap
- DPurchase a Compute Savings Plan to cover the development workloads, and configure an alert using the Savings Plans utilization threshold to notify the Amazon SNS topic when usage peaks.
Cevap
Configure AWS Cost Anomaly Detection with an Environment tag-based monitor, and create an alert subscription to send anomaly notifications to the Amazon SNS topic.
AWS Cost Anomaly Detection is a free service that uses machine learning to continuously monitor cost and usage to detect unusual spend. By using a cost allocation tag-based monitor (such as the Environment tag), it can isolate anomalies to specific environments and dynamically adjust thresholds based on historical patterns. Integrating it with Amazon Simple Notification Service (SNS) allows immediate alerting for near-real-time incident response.
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Anahtar Kavram
Using AWS Cost Anomaly Detection for tag-based, real-time alert notifications powered by machine learning, rather than using retrospective reporting tools or static budgets.
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